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《武汉工程大学学报》[ISSN:1674-2869/CN:42-1779/TQ]

Title:: Sensor placement analysis based on modal mass ratio
and genetic algorithm

作者:: 金中凡1; 陈彦江2; 宋振丰3; 1.湖北城市建设职业技术学院,湖北武汉 430205;2.北京工业大

学建筑工程学院,北京100022;
3.深圳市政设计研究院有限公司,广东深圳 518029

Author(s):: JIN Zhongfan1; CHEN Yanjiang2; SONG Zhenfeng3; 1.Hubei Urban Construction Vocational and Technologcal

College, Wuhan 430205, China;
2.Beijing University of Technology the College of

Architecture, Beijing 100022, China;
3.Shenzhen Municipal Design and Research Institute Co.,

Ltd., Shenzhen 518029， China

Keywords:: sensor placement; modal mass ratio; genetic

algorithm; modal number

摘要:: 从定量和定位两方面将振型贡献率及遗传算法应用于传感器

的布设研究.在传感器定量之前利用振型贡献率进行了模态阶数的

选取,对简单的遗传算法进行了改进,通过传感器数量与适应度函数

关系曲线可以确定出最经济的传感器数量,利用MATLAB软件编制了

遗传算法及确定传感器数量和位置的程序,提出确定传感器布设的

三步法,并用工程实例验证了所提方法的可行性和有效性.

Abstract:: Comprehensive researches have been carried on

sensor placement in quantitative and location respects

based on modal mass ratio and genetic algorithm. Modal

numbers have been selected by means of modal mass ration

before the number of sensors quantified. The simple

genetic algorithm is improved. The most economical

number of sensors is obtained by the relationship curve

between the number of sensors and fittness. The program

of genetic algorithm and the program of sensor selection

in number and location are edited by MATLAB software.

The curve fitting method is used to select the sensor

number. The three step method is proposed to determine

the placement of sensors and feasibility and

effectiveness of the method have been proved by an

engineering example.

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